电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2015年
8期
1843-1848
,共6页
胡进峰%李万阁%艾慧%李会勇%李军%夏威
鬍進峰%李萬閣%艾慧%李會勇%李軍%夏威
호진봉%리만각%애혜%리회용%리군%하위
雷达%天波超视距雷达%时频分析%机动目标检测
雷達%天波超視距雷達%時頻分析%機動目標檢測
뢰체%천파초시거뢰체%시빈분석%궤동목표검측
Radar%Over-The-Horizon Radar (OTHR)%Time-frequency analysis%Maneuvering target detection
在天波超视距雷达(OTHR)中,基于时频分析技术的机动目标检测算法具有信噪比要求低和参数估计精度高等优点。但是传统的时频分析方法计算量大,难以满足实际工程应用需要。针对该问题,该文提出一种新的时频分析方法,该方法构造时间-频率变化率的联合域并沿时间轴进行积分实现机动目标的检测和参数估计。由于该算法积分路径的特殊性,可以避免使用Hough变换,进而减小算法计算量,使其满足实际工程需要。仿真结果表明,该算法在低信噪比(SNR)下检测效果好,运算量低,且具有更高的参数估计精度;此外,该算法对不同时刻的频率变化率成分进行了积累,有效抑制了多机动目标引起的交叉项,避免了虚假目标的出现。
在天波超視距雷達(OTHR)中,基于時頻分析技術的機動目標檢測算法具有信譟比要求低和參數估計精度高等優點。但是傳統的時頻分析方法計算量大,難以滿足實際工程應用需要。針對該問題,該文提齣一種新的時頻分析方法,該方法構造時間-頻率變化率的聯閤域併沿時間軸進行積分實現機動目標的檢測和參數估計。由于該算法積分路徑的特殊性,可以避免使用Hough變換,進而減小算法計算量,使其滿足實際工程需要。倣真結果錶明,該算法在低信譟比(SNR)下檢測效果好,運算量低,且具有更高的參數估計精度;此外,該算法對不同時刻的頻率變化率成分進行瞭積纍,有效抑製瞭多機動目標引起的交扠項,避免瞭虛假目標的齣現。
재천파초시거뢰체(OTHR)중,기우시빈분석기술적궤동목표검측산법구유신조비요구저화삼수고계정도고등우점。단시전통적시빈분석방법계산량대,난이만족실제공정응용수요。침대해문제,해문제출일충신적시빈분석방법,해방법구조시간-빈솔변화솔적연합역병연시간축진행적분실현궤동목표적검측화삼수고계。유우해산법적분로경적특수성,가이피면사용Hough변환,진이감소산법계산량,사기만족실제공정수요。방진결과표명,해산법재저신조비(SNR)하검측효과호,운산량저,차구유경고적삼수고계정도;차외,해산법대불동시각적빈솔변화솔성분진행료적루,유효억제료다궤동목표인기적교차항,피면료허가목표적출현。
In Over-The-Horizon Radar (OTHR), the maneuvering target detection algorithms based on time- frequency analysis methods have the advantage of low signal to noise ratio requirement and high parameter estimation precision. However, the calculation amount of traditional time-frequency analysis methods is large and it is difficult to meet the requirement of engineering application. To solve this problem, this paper proposes a new time-frequency analysis method by constructing the joint time-frequency rate domain and calculating the integral value along the time axis to achieve maneuvering target detection and parameter estimation. Due to the special integral path, the proposed algorithm avoids the use of Hough transform. It can reduce the computation amount and make it meet the practical requirement. Simulation results show that the algorithm achieves better detection effect in low SNR, lower computation complexity and higher estimation accuracy. In addition, the frequency rate is accumulated according to different time, so it can suppress cross terms caused by multiple maneuvering targets and reduce false alarm rate.